Question: I'm looking for a tool that offers analytics to optimize the performance of my conversational AI assistants.

If you want to fine-tune your conversational AI assistants for peak performance, Humley is a powerful no-code foundation. It comes with a user-friendly interface, generative AI based on OpenAI's LLM and GPT models, connections to your existing infrastructure, and analytics to optimize performance. The system can handle multichannel conversations and offers a range of pricing tiers depending on your needs, so it's good for support, contact center and financial services.

Another strong contender is Align AI, which specializes in data analysis for LLM-based conversational products. It gauges user behavior, pinpoints optimization opportunities and offers real-time data savings through prebuilt SDKs. Align AI's cloud-based option is designed to protect data and handle large volumes, but the on-premise option gives customers control over data and compliance, so it can be used in a wide range of industries and use cases.

You could also consider Abacus.AI for building and running large-scale AI agents and systems. It uses generative AI and neural network technology to build predictive systems like chatbots and AI agents. With features like high availability, governance and compliance, Abacus.AI is designed for automating complex tasks and real-time forecasting, and it can be used in a wide range of industries and use cases to optimize business operations and customer service.

If you have teams that need to manage and optimize LLM software, Humanloop offers a collaborative foundation with tools for prompt engineering, evaluation and model tuning. It supports common LLM providers and offers SDKs for integration, making it a good fit for product teams and developers who want to improve the efficiency and reliability of AI development.